A tailored course, built for your situation
Mastering ISO 42001 for Senior Service Delivery Managers
Build trusted AI governance frameworks that attract high-impact work from senior sponsors
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Overlooked in high-stakes AI governance escalations despite frontline delivery experience
The situation this course is for
Experienced delivery managers often sit outside formal AI governance tracks, even when managing systems affected by new regulations. This creates a gap where trusted ownership of auditor-facing artefacts defaults to specialists without operational context, leading to misaligned controls, rework, and missed opportunities for recognition. Worse, when M&A integrations or regulator reviews arise, the default assignee isn’t always the person who knows the delivery reality. That results in handoffs that lack nuance, increase scrutiny, and bypass the practitioner best positioned to get it right. The issue isn’t competence, it’s documented command of the framework. Without it, even seasoned managers stay below the line when trust-critical work lands.
Who this is for
Senior Service Delivery Managers in global IT services firms who manage client-facing technology operations and compliance touchpoints, often stepping into governance-adjacent work without formal ownership of framework outputs
Who this is not for
Entry-level delivery staff, pure project coordinators without client accountability, or practitioners outside regulated service delivery environments
What you walk away with
- Produce regulator-ready AI governance documentation that stands up under review
- Own the end-to-end response to M&A integration escalations involving AI systems
- Deliver ISO 42001 control mappings with traceable sources and implementation rationale
- Anticipate and resolve peer-team escalations before they reach senior sponsors
- Build a documented AI governance playbook that survives team changes and client transitions
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the Trusted Practitioner Role
Establish the foundation of ISO 42001 as a governance framework for AI systems, emphasizing the role of service delivery leaders in building trusted, auditor-grade artefacts. Define how trusted ownership differs from compliance coverage.
12 chapters in this module
- What ISO 42001 means for service delivery
- The difference between compliance and trusted ownership
- Why senior sponsors assign sensitive work to certain individuals
- Patterns in M&A escalation routing
- Regulator-facing documentation expectations
- Control ownership vs policy awareness
- Documentation that earns trust
- How peer teams escalate to trusted individuals
- Case: First draft of AI SoA under review
- Attributes of defensible control mapping
- Trust signals in cross-functional response
- Course structure and artefact delivery roadmap
Module 2. Core Structure of ISO 42001 Controls
Break down the control clauses in ISO 42001 with operational precision, focusing on how they apply to client delivery environments. Emphasize wording, scope boundaries, and linkage to existing service agreements.
12 chapters in this module
- Clause 5.1 Leadership responsibility
- Clause 5.2 Risk management policy
- Clause 5.3 AI system inventory
- Clause 6.1 Human oversight
- Clause 6.2 Transparency obligations
- Clause 6.3 Data provenance tracking
- Clause 7.1 Training requirements
- Clause 7.2 User documentation
- Clause 8.1 Impact assessment process
- Clause 8.2 Bias mitigation steps
- Clause 9.1 Monitoring frequency
- Clause 9.2 Incident response triggers
Module 3. Control Mapping to Existing Service Frameworks
Link ISO 42001 controls to existing ITIL, ISO 20000, and COBIT practices in use at service delivery organizations. Show how to maintain compliance without reinventing workflows.
12 chapters in this module
- Mapping clause 5 to change advisory boards
- Integrating clause 6 into release planning
- Aligning clause 7 with knowledge transfer
- Applying clause 8 to incident ticketing
- Clause 9 and SLA reporting cycles
- Control mapping to ISO 20000 service levels
- Crosswalking to COBIT DSS04
- Using ServiceNow for control evidence
- Jira workflows for oversight tracking
- Maintaining alignment during M&A
- Updating mappings post-acquisition
- Versioning control documentation
Module 4. Documenting AI System Boundaries
Define how to document AI system scope with precision, covering integration points, data sources, and decision authority, so auditors and regulators can determine applicability.
12 chapters in this module
- Defining system boundaries clearly
- Including or excluding shadow AI
- Decision boundaries with human override
- Data ingestion points
- Output distribution channels
- Third-party model use cases
- Vendor-provided AI integration
- On-prem vs cloud inference tracking
- Model version control evidence
- Documenting retraining triggers
- Audit log retention periods
- Boundary updates during integration
Module 5. Human Oversight Implementation
Detail how to design and document human oversight mechanisms that satisfy ISO 42001 clause 6.1, including escalation paths, review frequency, and role accountability.
12 chapters in this module
- Defining oversight roles
- Shift-based monitoring coverage
- Escalation thresholds
- Review frequency by risk tier
- Documentation of intervention
- Post-action reporting
- Audit trail for override actions
- Training logs for oversight staff
- Review of false positives
- Scoring drift detection
- Threshold adjustment logs
- Monthly oversight summary reports
Module 6. Transparency and Disclosure Artefacts
Develop clear, reusable disclosure templates for clients and regulators that satisfy transparency obligations under ISO 42001 clause 6.2 without exposing proprietary methods.
12 chapters in this module
- Creating model cards for clients
- Public-facing transparency statements
- Regulator-specific disclosures
- Data lineage summaries
- Purpose limitation documentation
- Explainability approach outlines
- Limitations disclosures
- Version-to-version changes
- User-facing notifications
- Client portal content
- Internal transparency dashboards
- Updating disclosures post-update
Module 7. Risk Assessment for AI Systems
Build a repeatable risk assessment process for AI systems that aligns with ISO 42001 clause 8.1, incorporating client-specific factors and delivery constraints.
12 chapters in this module
- Identifying high-risk AI use cases
- Mapping to client industry
- Determining impact levels
- Probability scoring criteria
- Risk heat mapping
- Linking to SLAs
- Client-specific tolerances
- Documentation of rationale
- Updating assessments post-event
- Review frequency triggers
- Aligning with legal inputs
- Final risk register format
Module 8. Bias and Fairness Mitigation
Implement practical steps to detect, document, and mitigate bias in AI systems, satisfying ISO 42001 clause 8.2 with operational integrity.
12 chapters in this module
- Bias detection in training data
- Representation checks
- Disparity impact testing
- Pre-deployment fairness scoring
- Post-deployment monitoring
- Adjustment thresholds
- Documentation of mitigation
- Client-specific fairness criteria
- Third-party model audits
- Retraining with bias correction
- Reporting on bias metrics
- Escalation to ethics board
Module 9. Monitoring and Incident Response
Design monitoring dashboards and incident response playbooks that satisfy ISO 42001 clause 9.1 and 9.2, tailored for multi-client service environments.
12 chapters in this module
- Real-time model performance dashboards
- Drift detection thresholds
- Incident classification levels
- Response team activation
- Client notification timing
- Post-mortem documentation
- Incident logging standards
- Regulator reporting triggers
- Third-party incident coordination
- Breach simulation drills
- Playbook version control
- Audit readiness checks
Module 10. Preparing for External Reviews
Prepare for regulator-facing reviews and client audits using ISO 42001 as evidence, focusing on clean narrative, artefact completeness, and escalation readiness.
12 chapters in this module
- Assembling the audit package
- Narrative flow for reviewers
- Control implementation evidence
- Interview preparation for teams
- Escalation routing during audit
- Handling follow-up questions
- Documenting corrective actions
- Maintaining version control
- Confidentiality handling
- Third-party access protocols
- Post-audit improvement plan
- Audit outcome reporting
Module 11. M&A Integration and Governance Transfer
Manage AI governance during M&A transitions, ensuring ISO 42001 compliance continues across systems, teams, and documentation.
12 chapters in this module
- Identifying acquired AI assets
- Assessing compliance gaps
- Integrating control frameworks
- Updating system documentation
- Reassigning oversight roles
- Harmonizing incident response
- Client communication strategy
- Vendor contract alignment
- Data retention policy updates
- Cross-company training
- Documenting integration steps
- Post-merger audit prep
Module 12. Sustaining Trusted Ownership
Ensure the governance framework survives leadership changes, team turnover, and client transitions through documentation, training, and artefact portability.
12 chapters in this module
- Knowledge transfer planning
- Playbook version management
- Training new staff
- Client onboarding materials
- Handover documentation
- Succession readiness
- Maintaining artefact quality
- Updating for framework changes
- Feedback loops from audits
- Benchmarking against peers
- Recognition for trusted ownership
- Next-level sponsorship pathways
How this maps to your situation
- Preparing for regulator-facing review
- Responding to M&A integration escalation
- Handling peer-team escalation on AI control gap
- Updating documentation for client audit
Before vs. after
Before
Work sits below the line during high-stakes AI governance events, M&A integrations, regulator reviews, even with deep operational knowledge.
After
Escalations from peer teams, regulator-facing reviews, and M&A integration work are assigned directly, with trusted ownership of artefacts and response.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for completion over 4-6 weeks with real-world application.
If nothing changes
Continuing to deliver without documented command of ISO 42001 means missing high-visibility work that builds long-term leverage. When auditors or senior sponsors need answers, they’ll go to those who’ve already proven they can deliver under scrutiny.
How this compares to the alternatives
Generic AI governance courses teach principles. This course delivers artefacts, control mappings, and escalation-response patterns used in live ISO 42001 deployments, specifically for senior service delivery managers managing client-facing compliance.
Frequently asked
Who is this course for?
Senior Service Delivery Managers in regulated IT services environments who manage compliance-touching systems and want trusted ownership of AI governance artefacts.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover ISO 42001 specifically?
Yes. Every module is grounded in verifiable ISO 42001 control language, mapped to real delivery scenarios.
$199 one-time. Approximately 3 hours per module, designed for completion over 4-6 weeks with real-world application..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours